Oct 2026
Fully Homomorphic Encryption (FHE) is a promising technique for privacy preserving computation. However, homomorphically encrypted operations are orders of magnitude slower than the corresponding unencrypted operations due to high computation and memory bandwidth requirements. FPGAs are attractive platforms for acceler...
Yang Yang, Rajgopal Kannan, Viktor K. Prasanna
· ACM Transactions on Reconfig... · 0 citations
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Preprint
Sep 2026
Fully Homomorphic Encryption (FHE) enables privacy-preserving cloud services but incurs substantial computation overhead, making hardware acceleration essential. Among FHE operations, key-switching is a major performance bottleneck. Recent cryptographic advances introduce a novel key-switching method (i.e., KLSS) that...
Zhi-Han Xu, Jayashree Adivarahan, Rajgopal Kannan et al.
· 0 citations
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Aug 2026
S2MM is presented, the first scalable FPGA-based accelerator designed for HE MM, and a novel datapath for Homomorphic Linear Transformation (HLT), the dominant workload in HE MM is proposed, enabling fine-grained on-chip data reuse and substantially reducing both off-chip memory traffic and on-chip memory demand.
Zhi-Han Xu, Rajgopal Kannan, Viktor K. Prasanna
· ACM Transactions on Reconfig... · 0 citations
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Jul 2026
FOLIO is introduced, a training-free focused semantic memory system that records important parts of the stream in higher detail while keeping surrounding context compactly and substantially reducing the cost of maintaining streaming memory by reserving detailed records for focused entities and storing surrounding conte...
Haoyang Fan, Dhruv Parikh, Anvitha Ramachandran et al.
· arXiv.org · 1 citation
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